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Software Design Of Human Action Information Collection System

Posted on:2016-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:C X WangFull Text:PDF
GTID:2308330461976483Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With the society gradually progressing and developing, healthy become a problem that can’t be ignored. The aging problem becomes more serious, and current pension services and nursing staff can’t meet people’s needs. In view of the current monitoring mode, China’s major medical monitoring mode is mainly based on large-scale hospital equipment. This mode can’t enter everybody’s household and meet the needs of different groups. In order to improve the quality of medical care, convenient and efficient medical care model is an urgent need. Body Sensor network(BSN) is a new technology of today’s society and is an important component of wireless sensor networks and the Internet of Things. BSN is a combination of wireless sensor networks and medical engineering. It has the features of high precision, small-scale monitoring, low-power consumption, safe and easy to operate. BSN can acquire physiological signals of the human body, and provided to the patient a variety of useful physiological information.BSN has relatively high efficiency for the treatment of patients, it is compact and easy to carry. The patient can be self-monitoring at home.Based on the above background, the system use Visual Studio 2005 as the development platform,.NET as basic framework and C# as the programming language to design a motion capture analysis platform. The platform can collect and analyze human action signal real-time. And use the transmission of serial port, network between PC and the sensor. The platform establishesa complete data storage mechanism, analyze and process raw acceleration, angular velocity signal, and obtain gait-related parameters. The system uses opser2012 to model on the human skeleton, build a three-dimensional visualization of three-dimensional physical model in the base of OpenGL technology. The platform use angular velocity and the acceleration signal to strike a pose angle, and replay human walking posture, then draw walking motion trajectory. The platform can get real-time acquisition of fall detection in the use of signal detection algorithm.Based on the results of relevant research, the paper makes a summary of the full text and prospect of further work in the future in the paper’s final.
Keywords/Search Tags:Body Sensor Network, Action, Acceleration, OpenGL
PDF Full Text Request
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